Overview

Dataset statistics

Number of variables72
Number of observations2469
Missing cells72
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory576.1 B

Variable types

BOOL65
NUM6
CAT1

Warnings

packages_running_com.android.launcher is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_android is highly correlated with packages_running_com.android.launcher and 14 other fieldsHigh correlation
packages_running_com.android.nfc is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.android.noisefield is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.android.phone is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.android.providers.contacts is highly correlated with packages_running_com.android.providers.applications and 1 other fieldsHigh correlation
packages_running_com.android.providers.applications is highly correlated with packages_running_com.android.providers.contacts and 1 other fieldsHigh correlation
packages_running_com.android.providers.drm is highly correlated with packages_running_com.android.providers.downloads and 1 other fieldsHigh correlation
packages_running_com.android.providers.downloads is highly correlated with packages_running_com.android.providers.drm and 1 other fieldsHigh correlation
packages_running_com.android.providers.media is highly correlated with packages_running_com.android.providers.downloads and 1 other fieldsHigh correlation
packages_running_com.android.providers.settings is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.android.providers.telephony is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.android.providers.userdictionary is highly correlated with packages_running_com.android.providers.applications and 1 other fieldsHigh correlation
packages_running_com.android.stk is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.android.systemui is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.google.android.apps.genie.geniewidget is highly correlated with packages_running_ch.smalltech.battery.freeHigh correlation
packages_running_ch.smalltech.battery.free is highly correlated with packages_running_com.google.android.apps.genie.geniewidgetHigh correlation
packages_running_com.google.android.apps.maps is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.google.android.backup is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.google.android.gsf is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.google.android.inputmethod.latin is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.google.android.syncadapters.contacts is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.google.android.talk is highly correlated with packages_running_android and 14 other fieldsHigh correlation
packages_running_com.googlecode.android_scripting is highly correlated with packages_running_android and 14 other fieldsHigh correlation
battery_level has 1304 (52.8%) zeros Zeros
battery_plugged has 2343 (94.9%) zeros Zeros
battery_status has 1395 (56.5%) zeros Zeros
slot has 58 (2.3%) zeros Zeros

Reproduction

Analysis started2020-12-05 15:39:16.151900
Analysis finished2020-12-05 15:39:42.040590
Duration25.89 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

battery_level
Real number (ℝ)

ZEROS

Distinct41
Distinct (%)1.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1495137763
Minimum-10
Maximum30
Zeros1304
Zeros (%)52.8%
Memory size19.3 KiB
2020-12-05T16:39:42.091678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile-3
Q1-1
median0
Q30
95-th percentile2
Maximum30
Range40
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.234982261
Coefficient of variation (CV)28.32503041
Kurtosis23.95285634
Mean0.1495137763
Median Absolute Deviation (MAD)0
Skewness4.671900267
Sum369
Variance17.93507475
MonotocityNot monotonic
2020-12-05T16:39:42.198318image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
0130452.8%
 
-173729.9%
 
-21486.0%
 
-3602.4%
 
-4471.9%
 
-5200.8%
 
11100.4%
 
290.4%
 
180.3%
 
2480.3%
 
Other values (31)1174.7%
 
ValueCountFrequency (%) 
-101< 0.1%
 
-930.1%
 
-820.1%
 
-730.1%
 
-680.3%
 
ValueCountFrequency (%) 
301< 0.1%
 
2940.2%
 
2840.2%
 
2750.2%
 
2640.2%
 

battery_plugged
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.05162749865
Minimum0
Maximum2
Zeros2343
Zeros (%)94.9%
Memory size19.3 KiB
2020-12-05T16:39:42.297021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.5
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2342992213
Coefficient of variation (CV)4.538264054
Kurtosis25.72861943
Mean0.05162749865
Median Absolute Deviation (MAD)0
Skewness4.885739024
Sum127.4166667
Variance0.05489612511
MonotocityNot monotonic
2020-12-05T16:39:42.371917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
0234394.9%
 
11024.1%
 
0.5120.5%
 
290.4%
 
0.66666666671< 0.1%
 
0.751< 0.1%
 
(Missing)1< 0.1%
 
ValueCountFrequency (%) 
0234394.9%
 
0.5120.5%
 
0.66666666671< 0.1%
 
0.751< 0.1%
 
11024.1%
 
ValueCountFrequency (%) 
290.4%
 
11024.1%
 
0.751< 0.1%
 
0.66666666671< 0.1%
 
0.5120.5%
 

battery_status
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)0.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.348933009
Minimum0
Maximum5
Zeros1395
Zeros (%)56.5%
Memory size19.3 KiB
2020-12-05T16:39:42.454253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.581912649
Coefficient of variation (CV)1.172714018
Kurtosis-1.378563292
Mean1.348933009
Median Absolute Deviation (MAD)0
Skewness0.4680512351
Sum3329.166667
Variance2.502447629
MonotocityNot monotonic
2020-12-05T16:39:42.546043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
0139556.5%
 
393237.7%
 
5702.8%
 
2411.7%
 
2.590.4%
 
460.2%
 
4.550.2%
 
2.33333333330.1%
 
3.530.1%
 
3.66666666720.1%
 
Other values (2)20.1%
 
ValueCountFrequency (%) 
0139556.5%
 
2411.7%
 
2.33333333330.1%
 
2.590.4%
 
2.6666666671< 0.1%
 
ValueCountFrequency (%) 
5702.8%
 
4.6666666671< 0.1%
 
4.550.2%
 
460.2%
 
3.66666666720.1%
 

day
Real number (ℝ≥0)

Distinct31
Distinct (%)1.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean13.57536467
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Memory size19.3 KiB
2020-12-05T16:39:42.642237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median13
Q321
95-th percentile30
Maximum31
Range30
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.298695642
Coefficient of variation (CV)0.6849683872
Kurtosis-1.031987465
Mean13.57536467
Median Absolute Deviation (MAD)8
Skewness0.4293305983
Sum33504
Variance86.46574065
MonotocityNot monotonic
2020-12-05T16:39:42.734493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
21445.8%
 
11355.5%
 
41335.4%
 
141245.0%
 
161184.8%
 
31164.7%
 
71114.5%
 
131114.5%
 
81074.3%
 
291044.2%
 
Other values (21)126551.2%
 
ValueCountFrequency (%) 
11355.5%
 
21445.8%
 
31164.7%
 
41335.4%
 
51004.1%
 
ValueCountFrequency (%) 
31642.6%
 
30933.8%
 
291044.2%
 
28923.7%
 
27522.1%
 

month
Real number (ℝ≥0)

Distinct8
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.769854133
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Memory size19.3 KiB
2020-12-05T16:39:42.828237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.460122692
Coefficient of variation (CV)0.7730044103
Kurtosis-1.779658775
Mean5.769854133
Median Absolute Deviation (MAD)2
Skewness0.1558427945
Sum14240
Variance19.89269443
MonotocityNot monotonic
2020-12-05T16:39:42.903629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
168327.7%
 
244618.1%
 
943317.5%
 
1233713.6%
 
1025710.4%
 
31506.1%
 
111365.5%
 
8261.1%
 
(Missing)1< 0.1%
 
ValueCountFrequency (%) 
168327.7%
 
244618.1%
 
31506.1%
 
8261.1%
 
943317.5%
 
ValueCountFrequency (%) 
1233713.6%
 
111365.5%
 
1025710.4%
 
943317.5%
 
8261.1%
 

packages_running_android
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.084173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1723 
0
745 
(Missing)
 
1
ValueCountFrequency (%) 
1172369.8%
 
074530.2%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.120380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2440 
1
 
28
(Missing)
 
1
ValueCountFrequency (%) 
0244098.8%
 
1281.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.157084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2460 
1
 
8
(Missing)
 
1
ValueCountFrequency (%) 
0246099.6%
 
180.3%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.194284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2214 
1
254 
(Missing)
 
1
ValueCountFrequency (%) 
0221489.7%
 
125410.3%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.230492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
1362 
1
1106 
(Missing)
 
1
ValueCountFrequency (%) 
0136255.2%
 
1110644.8%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.267197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1342 
0
1126 
(Missing)
 
1
ValueCountFrequency (%) 
1134254.4%
 
0112645.6%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.303900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2444 
1
 
24
(Missing)
 
1
ValueCountFrequency (%) 
0244499.0%
 
1241.0%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.341101image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.377804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
1253 
1
1215 
(Missing)
 
1
ValueCountFrequency (%) 
0125350.7%
 
1121549.2%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.414508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2228 
1
240 
(Missing)
 
1
ValueCountFrequency (%) 
0222890.2%
 
12409.7%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.452204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

packages_running_com.android.nfc
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.488412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.525115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2467 
1
 
1
(Missing)
 
1
ValueCountFrequency (%) 
0246799.9%
 
11< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.561821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

packages_running_com.android.phone
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.598028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2460 
0
 
8
(Missing)
 
1
ValueCountFrequency (%) 
1246099.6%
 
080.3%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.634732image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1846 
0
622 
(Missing)
 
1
ValueCountFrequency (%) 
1184674.8%
 
062225.2%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.671436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2460 
0
 
8
(Missing)
 
1
ValueCountFrequency (%) 
1246099.6%
 
080.3%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.708636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2458 
0
 
10
(Missing)
 
1
ValueCountFrequency (%) 
1245899.6%
 
0100.4%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.745340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2458 
0
 
10
(Missing)
 
1
ValueCountFrequency (%) 
1245899.6%
 
0100.4%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.782044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2458 
0
 
10
(Missing)
 
1
ValueCountFrequency (%) 
1245899.6%
 
0100.4%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.818748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.855452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.893644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2460 
0
 
8
(Missing)
 
1
ValueCountFrequency (%) 
1246099.6%
 
080.3%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.930347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
1934 
1
534 
(Missing)
 
1
ValueCountFrequency (%) 
0193478.3%
 
153421.6%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:43.967052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

packages_running_com.android.stk
Boolean

HIGH CORRELATION

Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.004251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.040460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1683 
0
785 
(Missing)
 
1
ValueCountFrequency (%) 
1168368.2%
 
078531.8%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.076667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2421 
0
 
47
(Missing)
 
1
ValueCountFrequency (%) 
1242198.1%
 
0471.9%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.113372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1684 
0
784 
(Missing)
 
1
ValueCountFrequency (%) 
1168468.2%
 
078431.8%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.150571image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.187275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1662 
0
806 
(Missing)
 
1
ValueCountFrequency (%) 
1166267.3%
 
080632.6%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.223979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1533 
0
935 
(Missing)
 
1
ValueCountFrequency (%) 
1153362.1%
 
093537.9%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.260683image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.297388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1363 
0
1105 
(Missing)
 
1
ValueCountFrequency (%) 
1136355.2%
 
0110544.8%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.334587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1807 
0
661 
(Missing)
 
1
ValueCountFrequency (%) 
1180773.2%
 
066126.8%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.371787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
1380 
1
1088 
(Missing)
 
1
ValueCountFrequency (%) 
0138055.9%
 
1108844.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.408987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2461 
0
 
7
(Missing)
 
1
ValueCountFrequency (%) 
1246199.7%
 
070.3%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.446187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
1807 
1
661 
(Missing)
 
1
ValueCountFrequency (%) 
0180773.2%
 
166126.8%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.482891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1789 
0
679 
(Missing)
 
1
ValueCountFrequency (%) 
1178972.5%
 
067927.5%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.519594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2407 
1
 
61
(Missing)
 
1
ValueCountFrequency (%) 
0240797.5%
 
1612.5%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.556299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2345 
1
 
123
(Missing)
 
1
ValueCountFrequency (%) 
0234595.0%
 
11235.0%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.592507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
1684 
1
784 
(Missing)
 
1
ValueCountFrequency (%) 
0168468.2%
 
178431.8%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.629211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.665418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2418 
0
 
50
(Missing)
 
1
ValueCountFrequency (%) 
1241897.9%
 
0502.0%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.701627image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.737834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1845 
0
623 
(Missing)
 
1
ValueCountFrequency (%) 
1184574.7%
 
062325.2%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.774043image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2290 
0
 
178
(Missing)
 
1
ValueCountFrequency (%) 
1229092.8%
 
01787.2%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.811243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
1973 
1
495 
(Missing)
 
1
ValueCountFrequency (%) 
0197379.9%
 
149520.0%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.848443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct1
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2468 
(Missing)
 
1
ValueCountFrequency (%) 
02468> 99.9%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.884155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2008 
1
460 
(Missing)
 
1
ValueCountFrequency (%) 
0200881.3%
 
146018.6%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.911435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2394 
1
 
74
(Missing)
 
1
ValueCountFrequency (%) 
0239497.0%
 
1743.0%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.948637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:44.985339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.022042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct1
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2468 
(Missing)
 
1
ValueCountFrequency (%) 
02468> 99.9%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.057258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1310 
0
1158 
(Missing)
 
1
ValueCountFrequency (%) 
1131053.1%
 
0115846.9%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.084538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2467 
0
 
1
(Missing)
 
1
ValueCountFrequency (%) 
1246799.9%
 
01< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.121242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
1390 
1
1078 
(Missing)
 
1
ValueCountFrequency (%) 
0139056.3%
 
1107843.7%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.157450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2423 
1
 
45
(Missing)
 
1
ValueCountFrequency (%) 
0242398.1%
 
1451.8%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.194650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2402 
1
 
66
(Missing)
 
1
ValueCountFrequency (%) 
0240297.3%
 
1662.7%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.232842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
1302 
1
1166 
(Missing)
 
1
ValueCountFrequency (%) 
0130252.7%
 
1116647.2%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.273018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
1373 
0
1095 
(Missing)
 
1
ValueCountFrequency (%) 
1137355.6%
 
0109544.3%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.313194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
1
2463 
0
 
5
(Missing)
 
1
ValueCountFrequency (%) 
1246399.8%
 
050.2%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.352877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2467 
1
 
1
(Missing)
 
1
ValueCountFrequency (%) 
0246799.9%
 
11< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.543833image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Distinct2
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
0
2467 
1
 
1
(Missing)
 
1
ValueCountFrequency (%) 
0246799.9%
 
11< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.580041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

slot
Real number (ℝ≥0)

ZEROS

Distinct48
Distinct (%)1.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean23.72568882
Minimum0
Maximum47
Zeros58
Zeros (%)2.3%
Memory size19.3 KiB
2020-12-05T16:39:45.649482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112
median24
Q336
95-th percentile45
Maximum47
Range47
Interquartile range (IQR)24

Descriptive statistics

Standard deviation13.90350222
Coefficient of variation (CV)0.5860104768
Kurtosis-1.18391074
Mean23.72568882
Median Absolute Deviation (MAD)12
Skewness-0.05077115563
Sum58555
Variance193.3073739
MonotocityNot monotonic
2020-12-05T16:39:45.754137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%) 
3622.5%
 
23612.5%
 
31612.5%
 
27602.4%
 
1602.4%
 
0582.3%
 
21572.3%
 
26572.3%
 
39562.3%
 
32562.3%
 
Other values (38)188076.1%
 
ValueCountFrequency (%) 
0582.3%
 
1602.4%
 
2411.7%
 
3622.5%
 
4562.3%
 
ValueCountFrequency (%) 
47552.2%
 
46512.1%
 
45471.9%
 
44562.3%
 
43562.3%
 

year
Categorical

Distinct3
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size19.3 KiB
2013
1278 
2012
1189 
1970
 
1
ValueCountFrequency (%) 
2013127851.8%
 
2012118948.2%
 
19701< 0.1%
 
(Missing)1< 0.1%
 
2020-12-05T16:39:45.861769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%
2020-12-05T16:39:45.927241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:46.003129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length6
Mean length5.998784933
Min length3

Interactions

2020-12-05T16:39:21.783973image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:21.909462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:22.034950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:22.148534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:22.265093image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:22.370245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:22.475398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:22.599397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:22.720917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:22.886580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:22.999668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:23.114742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:23.222372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:23.324548image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:23.428708image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:23.523444image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:23.619172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:23.711427image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:23.801700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:23.906851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:24.014484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:24.110707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:24.208915image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:24.304643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:24.397394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:24.500067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:24.605218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:24.698962image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:24.794194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:24.885954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:24.974738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:25.072450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:25.172642image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:25.260930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:25.352690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:25.441970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-12-05T16:39:46.178217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-12-05T16:39:48.939445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-12-05T16:39:51.696210image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-12-05T16:39:54.489680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-12-05T16:39:25.848692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:32.564025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:35.495382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-12-05T16:39:41.108607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

battery_levelbattery_pluggedbattery_statusdaymonthpackages_running_androidpackages_running_ch.smalltech.battery.freepackages_running_com.android.bluetoothpackages_running_com.android.calculator2packages_running_com.android.chromepackages_running_com.android.contactspackages_running_com.android.defcontainerpackages_running_com.android.keychainpackages_running_com.android.launcherpackages_running_com.android.mmspackages_running_com.android.musicfxpackages_running_com.android.nfcpackages_running_com.android.noisefieldpackages_running_com.android.packageinstallerpackages_running_com.android.phonepackages_running_com.android.providers.applicationspackages_running_com.android.providers.calendarpackages_running_com.android.providers.contactspackages_running_com.android.providers.downloadspackages_running_com.android.providers.drmpackages_running_com.android.providers.mediapackages_running_com.android.providers.settingspackages_running_com.android.providers.telephonypackages_running_com.android.providers.userdictionarypackages_running_com.android.settingspackages_running_com.android.stkpackages_running_com.android.systemuipackages_running_com.android.vendingpackages_running_com.google.android.apps.bookspackages_running_com.google.android.apps.genie.geniewidgetpackages_running_com.google.android.apps.mapspackages_running_com.google.android.apps.pluspackages_running_com.google.android.apps.uploaderpackages_running_com.google.android.backuppackages_running_com.google.android.browserpackages_running_com.google.android.calendarpackages_running_com.google.android.deskclockpackages_running_com.google.android.emailpackages_running_com.google.android.exchangepackages_running_com.google.android.gallery3dpackages_running_com.google.android.gmpackages_running_com.google.android.gmspackages_running_com.google.android.googlequicksearchboxpackages_running_com.google.android.gsfpackages_running_com.google.android.gsf.loginpackages_running_com.google.android.inputmethod.latinpackages_running_com.google.android.inputmethod.latin.dictionarypackpackages_running_com.google.android.locationpackages_running_com.google.android.musicpackages_running_com.google.android.onetimeinitializerpackages_running_com.google.android.partnersetuppackages_running_com.google.android.setupwizardpackages_running_com.google.android.syncadapters.contactspackages_running_com.google.android.talkpackages_running_com.google.android.videospackages_running_com.google.android.youtubepackages_running_com.googlecode.android_scriptingpackages_running_com.googlecode.pythonforandroidpackages_running_com.halfbrick.fruitninjafreepackages_running_com.rovio.angrybirdsspace.adspackages_running_com.tf.thinkdroid.sgpackages_running_de.kicktipp.mbookmarkpackages_running_edu.udo.cs.ess.mobidac.targetpackages_running_org.openintents.filemanagerpackages_running_stream.androidslotyear
025.01.02.031.08.01.00.00.00.01.00.00.00.01.00.00.01.01.00.01.01.01.01.01.01.01.01.01.01.00.01.01.01.00.00.01.01.01.01.00.01.01.01.01.01.00.00.00.01.01.01.00.01.01.00.00.00.01.01.00.01.01.00.00.00.00.00.01.00.00.03.02012.0
13.00.00.031.08.01.00.00.00.01.00.00.00.01.00.00.01.01.00.01.01.01.01.01.01.01.01.01.01.00.01.01.01.00.00.01.01.01.01.00.01.01.01.01.01.00.00.00.01.01.01.00.01.01.00.00.00.01.01.00.01.01.00.00.00.00.00.01.00.00.04.02012.0
21.01.04.531.08.01.00.00.00.01.00.00.00.01.00.00.01.01.00.01.01.01.01.01.01.01.01.01.01.00.01.01.01.00.00.01.01.01.01.00.01.01.01.01.01.00.00.00.01.01.01.00.01.01.00.00.00.01.01.00.01.01.01.00.00.00.00.01.00.00.08.02012.0
30.01.05.031.08.01.00.00.00.01.00.00.00.01.00.00.01.01.00.01.01.01.01.01.01.01.01.01.01.00.01.01.01.00.00.01.01.01.01.00.01.01.01.01.01.00.00.00.01.01.01.00.01.01.00.00.00.01.01.00.01.01.01.00.00.00.00.01.00.00.012.02012.0
40.00.54.031.08.01.00.00.00.00.00.00.00.01.00.00.01.01.00.01.01.01.01.01.01.01.01.01.01.00.01.01.01.00.00.01.01.01.01.00.00.01.01.01.01.00.00.00.01.01.01.00.01.01.00.00.00.01.01.00.00.01.01.00.00.00.00.01.00.00.016.02012.0
50.00.00.031.08.01.00.00.00.00.00.00.00.01.00.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.01.00.00.01.01.01.01.00.00.01.01.01.01.00.00.00.01.01.01.00.01.01.00.00.00.01.01.00.01.01.01.00.00.00.00.01.00.00.017.02012.0
6-2.00.00.031.08.01.00.00.00.00.00.00.00.01.00.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.00.00.00.01.01.01.01.00.00.01.01.01.01.00.00.00.01.01.01.00.01.01.00.00.00.01.01.00.01.01.01.00.00.00.00.01.00.00.018.02012.0
7-3.00.03.031.08.01.00.00.00.00.00.00.00.01.00.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.00.00.00.01.01.01.01.00.00.01.01.01.01.00.00.00.01.01.01.00.01.01.00.00.00.01.01.00.01.01.01.00.00.00.00.01.00.00.019.02012.0
8-3.00.00.031.08.01.00.00.00.00.00.00.00.01.00.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.00.00.00.01.01.01.01.00.00.01.01.01.01.00.00.00.01.01.01.00.01.01.00.00.00.01.01.00.01.01.01.00.00.00.00.01.00.00.021.02012.0
9-3.00.00.031.08.01.00.00.00.00.00.00.00.01.00.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.00.00.00.01.01.01.01.00.00.01.01.01.01.00.00.00.01.01.01.00.01.01.00.00.00.01.01.00.01.01.01.00.00.00.00.01.00.00.022.02012.0

Last rows

battery_levelbattery_pluggedbattery_statusdaymonthpackages_running_androidpackages_running_ch.smalltech.battery.freepackages_running_com.android.bluetoothpackages_running_com.android.calculator2packages_running_com.android.chromepackages_running_com.android.contactspackages_running_com.android.defcontainerpackages_running_com.android.keychainpackages_running_com.android.launcherpackages_running_com.android.mmspackages_running_com.android.musicfxpackages_running_com.android.nfcpackages_running_com.android.noisefieldpackages_running_com.android.packageinstallerpackages_running_com.android.phonepackages_running_com.android.providers.applicationspackages_running_com.android.providers.calendarpackages_running_com.android.providers.contactspackages_running_com.android.providers.downloadspackages_running_com.android.providers.drmpackages_running_com.android.providers.mediapackages_running_com.android.providers.settingspackages_running_com.android.providers.telephonypackages_running_com.android.providers.userdictionarypackages_running_com.android.settingspackages_running_com.android.stkpackages_running_com.android.systemuipackages_running_com.android.vendingpackages_running_com.google.android.apps.bookspackages_running_com.google.android.apps.genie.geniewidgetpackages_running_com.google.android.apps.mapspackages_running_com.google.android.apps.pluspackages_running_com.google.android.apps.uploaderpackages_running_com.google.android.backuppackages_running_com.google.android.browserpackages_running_com.google.android.calendarpackages_running_com.google.android.deskclockpackages_running_com.google.android.emailpackages_running_com.google.android.exchangepackages_running_com.google.android.gallery3dpackages_running_com.google.android.gmpackages_running_com.google.android.gmspackages_running_com.google.android.googlequicksearchboxpackages_running_com.google.android.gsfpackages_running_com.google.android.gsf.loginpackages_running_com.google.android.inputmethod.latinpackages_running_com.google.android.inputmethod.latin.dictionarypackpackages_running_com.google.android.locationpackages_running_com.google.android.musicpackages_running_com.google.android.onetimeinitializerpackages_running_com.google.android.partnersetuppackages_running_com.google.android.setupwizardpackages_running_com.google.android.syncadapters.contactspackages_running_com.google.android.talkpackages_running_com.google.android.videospackages_running_com.google.android.youtubepackages_running_com.googlecode.android_scriptingpackages_running_com.googlecode.pythonforandroidpackages_running_com.halfbrick.fruitninjafreepackages_running_com.rovio.angrybirdsspace.adspackages_running_com.tf.thinkdroid.sgpackages_running_de.kicktipp.mbookmarkpackages_running_edu.udo.cs.ess.mobidac.targetpackages_running_org.openintents.filemanagerpackages_running_stream.androidslotyear
2459-1.00.00.07.03.01.01.00.00.00.00.00.00.01.01.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.01.01.01.01.01.01.01.00.00.00.01.00.01.00.01.00.01.01.01.00.00.00.00.00.00.01.01.00.01.01.00.00.00.01.01.01.00.00.026.02013.0
2460-1.00.00.07.03.01.01.00.00.00.00.00.00.01.01.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.01.01.01.01.01.01.01.00.00.00.01.00.01.00.01.00.01.01.01.00.00.00.00.00.00.01.01.00.01.01.00.00.00.01.01.01.00.00.027.02013.0
24610.00.03.07.03.01.01.00.00.00.00.00.00.01.01.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.01.01.01.01.01.01.01.00.00.00.01.00.01.00.01.00.01.01.01.00.00.00.00.00.00.01.01.00.01.01.00.00.00.01.01.01.00.00.028.02013.0
24620.00.00.07.03.01.01.00.00.00.00.00.00.01.01.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.01.01.01.01.01.01.01.00.00.00.01.00.01.00.01.00.01.01.01.00.00.00.00.00.00.01.01.00.01.01.00.00.00.01.01.01.00.00.029.02013.0
24630.00.00.07.03.01.01.00.00.00.00.00.00.01.01.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.01.01.01.01.01.01.01.00.00.00.01.00.01.00.01.00.01.01.01.00.00.00.00.00.00.01.01.00.01.01.00.00.00.01.01.01.00.00.030.02013.0
24640.00.00.07.03.01.01.00.00.00.00.00.00.01.01.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.01.01.01.01.01.01.01.00.00.00.01.00.01.00.01.00.01.01.01.00.00.00.00.00.00.01.01.00.01.01.00.00.00.01.01.01.00.00.031.02013.0
2465-1.00.03.07.03.01.01.00.00.00.00.00.00.01.01.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.01.01.01.01.01.01.01.00.00.00.01.00.01.00.01.00.01.01.01.00.00.00.00.00.00.01.01.00.01.01.00.00.00.01.01.01.00.00.032.02013.0
2466-1.00.03.07.03.01.01.00.00.00.00.00.00.01.01.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.01.01.01.01.01.01.01.00.00.00.01.00.01.00.01.00.01.01.01.00.00.00.00.00.00.01.01.00.01.01.00.00.00.01.01.01.00.00.036.02013.0
24670.00.00.07.03.01.01.00.00.00.00.00.00.01.01.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.00.01.01.01.01.01.01.00.00.00.01.00.01.00.01.00.01.01.01.00.00.00.00.00.00.01.01.00.01.01.00.00.00.01.01.01.00.00.038.02013.0
24680.00.00.07.03.01.01.00.00.00.00.00.00.01.01.00.01.01.00.01.01.00.01.01.01.01.01.01.01.00.01.01.00.01.01.01.01.01.01.00.00.00.01.00.01.00.01.00.01.01.01.00.00.00.00.00.00.01.01.00.01.01.00.00.00.01.01.01.00.00.039.02013.0